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Dragonfly Managing Partner: Onchain Pre-IPO Derivatives Show AI Lab Valuations Not Significantly Impacted by "Slowing the Frontier Race"
Dragonfly managing partner Haseeb Qureshi stated that price movements in onchain Pre-IPO derivatives reflect interesting market expectations for AI lab valuations. He noted that Jacob Coxon's earlier pessimistic remarks about AI risk actually pushed related lab valuations higher, arguing that "scaring everyone seems to be good for business."Haseeb said that after Anthropic CEO Dario Amodei proposed "slowing the frontier race," related valuations were not significantly affected, which is not surprising, since reducing the model race means training spending declines, thereby lowering major capital expenditures. However, after David Sacks publicly criticized Dario, Anthropic's valuation was largely unaffected, while OpenAI's valuation declined, and he raised questions about the reason for this.
Bank of England Governor: Frontier AI Models Threaten Global Financial Stability
According to CNBC, Andrew Bailey, Governor of the Bank of England and Chairman of the Financial Stability Board (FSB), wrote to G20 finance ministers and central bank governors on August 31 to warn that frontier AI models are exhibiting increasingly sophisticated autonomy and threat capabilities, which could fundamentally alter the speed, scale, and economics of cyberattacks, potentially triggering disorderly adjustments across global financial markets. Bailey noted that highly concentrated third-party service providers will become critical nodes of systemic risk, emphasizing that most countries currently lack regulatory frameworks for the development and deployment of frontier AI. He also flagged vulnerabilities in sovereign debt markets, the growing trend of leverage in equity markets, and the overvaluation of AI-related assets, urging governments to accelerate the refinement of relevant safety mechanisms.
Serenity: The AI Supply Chain Boom Is Far From Over, With Storage, Packaging, and Power Sectors Poised for Long-Term Demand Surge
Odaily News "White-Haired Stock God" Serenity shared insights on the AI industry chain on the X platform, noting that AI infrastructure demand is driving multiple sectors—including storage, advanced packaging, computing power financing, optical communications, power supply, and electronic components—into a long-term expansion cycle. The AI supply chain remains in a phase of rapid growth.In the storage sector, Serenity cited UBS forecasts indicating that traditional DRAM manufacturers (such as Micron) could see gross margins reach an unprecedented 95% by 2027, potentially even surpassing the gross margin levels of HBM products. Additionally, SanDisk's long-term agreements already cover approximately two-thirds of its 2028 production capacity, with minimum contracted revenue reaching $93 billion. Given its current market cap of around $239 billion, this suggests its future revenue targets could persist for years, making it difficult to simply classify the company as a traditional cyclical stock.On the cloud computing infrastructure front, CoreWeave has signed agreements to use Nvidia A100 GPUs through 2029. This is a positive development for emerging cloud computing companies such as Nebius and Iren, and it also weakens some investors' bearish thesis centered on the rapid depreciation of older GPUs.AI model companies are also continuing to grow at a pace that exceeds expectations. Frontier AI labs are still maintaining extremely rapid growth rates, and a slowdown in growth would actually be a cause for concern. The market projects that Anthropic's 2028 revenue could reach $190 billion to $200 billion.However, advanced packaging and semiconductor infrastructure remain core bottlenecks. The head of advanced packaging at TSMC has stated that in the coming years, the industry may face not only memory shortages but also tight supply of ABF substrates.Serenity concluded that the AI infrastructure supply chain is continuously expanding. From GPUs, storage, and advanced packaging to power, optical communications, and electronic components, every segment is showing a long-term demand growth trend. The AI supply chain is still in a high-speed development stage.
Framework Ventures Raises $400 Million Fund Targeting Tokenization, Stablecoins, and Frontier Technologies
San Francisco-based venture capital firm Framework Ventures has raised a $400 million fund, planning to invest in the intersection of tokenization, stablecoins, and frontier technologies. Framework Ventures co-founder Michael Anderson stated that the firm believes blockchain, through tokenization, will become the financing layer for AI computing power, robotics, and energy infrastructure. The crypto industry has shifted from serving crypto users to solving capital formation problems for real-world industries. (CoinDesk)
Institutions: AI Giants Worry They're Moving Too Fast, But Most of Their Customers Are Still Far From the "Frontier"
Over the past year, the AI field has experienced explosive growth, and this pace seems to have left frontier AI developers struggling to keep up in a short period of time. Now, these companies are beginning to call for a slower pace of research and stronger regulation and oversight.However, the AI safety crises that have previously been brought to light are unlikely to similarly impact the customers of AI giants like Anthropic and OpenAI. Enterprises typically deploy models that have already been commercialized and whose capabilities are relatively well understood by the market. These models may not be at the absolute cutting edge of AI, but their capabilities are already powerful enough to handle the various tasks enterprises assign to them.Stephen Messer, co-founder of Collective, said that most enterprises are not using the most cutting-edge models. They may even still be using versions from two years ago, and for the work they are doing, these models are actually more than sufficient. Some users don't even really know how to effectively prompt the models. Therefore, if the pace of AI development slows down, it won't have much of an impact on them. (WSJ)
Tech investor Jason: AI stocks will drop more than 10% in early trading on Monday
Odaily reports: Well-known tech investor Jason posted on X: "AI stocks will drop more than 10% in early trading on Monday," adding that Amodei's blog post "single-handedly dismantled the AI trade."Anthropic CEO Dario Amodei previously published a blog post with a title that directly stated: "We Must Pace the Frontier." Within hours of the article's publication, SpaceX CEO Elon Musk posted on X, saying "Dario is right."Early market indicators show that following the "AI slowdown" news, related assets on the HyperliquidX platform fell in response, with OpenAI and Anthropic dropping 7% and 2.8% respectively. Multiple market observers and investors have issued warnings on social media, concerned that the news will cause a significant impact on AI-related stocks such as Nvidia, Broadcom, and AMD on Monday.Executives at Google DeepMind and Meta have not yet publicly commented on this weekend's discussions. Divisions within the industry also cannot be overlooked. Critics argue that leading AI companies have self-interested motives in emphasizing existential risks—expensive safety and compliance frameworks could shut out smaller competitors, thereby consolidating the market position of existing giants.
Wyoming Expands Partnership with Chainlink to Introduce On-Chain Reserve Verification for FRNT Stablecoin
According to The Block, the Wyoming Stable Token Committee announced the adoption of Chainlink Proof of Reserve to provide near-real-time on-chain reserve validation for its official stablecoin, Frontier Stable Token (FRNT). The Network Firm will audit FRNT reserves in accordance with AICPA standards, while Chainlink will post verification data on-chain in real time to bridge information gaps between reporting cycles. Previously, Wyoming fully migrated FRNT from LayerZero to Chainlink CCIP last month as its sole cross-chain infrastructure. The committee is also advancing the Chainlink Proof of Reserve Secure Mint feature, which requires verifying that reserves do not fall below FRNT's total supply before minting new tokens to prevent infinite minting attacks. FRNT launched in January this year and is the United States' first government-issued stable token, backed by U.S. dollars and short-term U.S. Treasuries.
Bank of England Governor: Frontier AI Models Threaten Global Financial Stability
According to CNBC, Andrew Bailey, Governor of the Bank of England and Chairman of the Financial Stability Board (FSB), wrote to G20 finance ministers and central bank governors on August 31 to warn that frontier AI models are exhibiting increasingly sophisticated autonomy and threat capabilities, which could fundamentally alter the speed, scale, and economics of cyberattacks, potentially triggering disorderly adjustments across global financial markets. Bailey noted that highly concentrated third-party service providers will become critical nodes of systemic risk, emphasizing that most countries currently lack regulatory frameworks for the development and deployment of frontier AI. He also flagged vulnerabilities in sovereign debt markets, the growing trend of leverage in equity markets, and the overvaluation of AI-related assets, urging governments to accelerate the refinement of relevant safety mechanisms.
Crypto Companies Send Joint Letter to AI Labs, Urging Access to Frontier Models for Bitcoin Developers
据 Cointelegraph 报道，比特币政策研究所（BPI）联合 Anchorage Digital、BitGo、Bitwise、Blockstream、Kraken、Ledger、MARA、Trezor 等多家加密机构，发布公开信敦促各大前沿 AI 实验室为比特币及开源软件开发者建立或扩展可信访问计划。 信中指出，Bitcoin Core 等开源维护者目前缺乏对 AI 实验室网络安全程序的访问渠道，被迫依赖能力较弱的开源模型，而比特币网络当前保护着逾 1 万亿美元资产，任何开源基础设施漏洞均可能危及用户毕生积蓄。BPI 同时披露，已收到多份报告显示包括潜在境外势力在内的复杂攻击者正借助先进 AI 能力持续发动攻击。
1178 employees from top AI companies sign joint statement calling for international cooperation to control the pace of frontier AI development
1,178 employees from leading AI companies have jointly released a statement titled "Pacing the Frontier," urging the U.S. government to support international cooperation in developing technologies and governance tools to proactively regulate the pace of frontier AI development.The statement says that global leading AI companies believe the future may be approaching the point where automated AI research becomes achievable. Although it is impossible to predict exactly how this will accelerate AI progress, there is a risk that AI capabilities could rapidly surpass human understanding and control.The signatories stated that the industry, governments, and society need to retain the option to "buy time" to address emerging risks, improve safety measures, and strengthen regulation. However, due to competitive pressures faced by both companies and nations, the world currently lacks governance mechanisms capable of proactively controlling the pace of frontier AI development.The statement notes that frontier AI agents are already capable of discovering and exploiting real software vulnerabilities, and could be used for large-scale cyberattacks in the absence of safety measures.Employees from multiple organizations including OpenAI, Anthropic, Google, and Meta have signed the statement, and believe there is a need to establish international coordination mechanisms to reduce potential risks while advancing AI development.
Wyoming Expands Partnership with Chainlink to Introduce On-Chain Reserve Verification for FRNT Stablecoin
According to The Block, the Wyoming Stable Token Committee announced the adoption of Chainlink Proof of Reserve to provide near-real-time on-chain reserve validation for its official stablecoin, Frontier Stable Token (FRNT). The Network Firm will audit FRNT reserves in accordance with AICPA standards, while Chainlink will post verification data on-chain in real time to bridge information gaps between reporting cycles. Previously, Wyoming fully migrated FRNT from LayerZero to Chainlink CCIP last month as its sole cross-chain infrastructure. The committee is also advancing the Chainlink Proof of Reserve Secure Mint feature, which requires verifying that reserves do not fall below FRNT's total supply before minting new tokens to prevent infinite minting attacks. FRNT launched in January this year and is the United States' first government-issued stable token, backed by U.S. dollars and short-term U.S. Treasuries.
Bank of England Governor: Frontier AI Models Threaten Global Financial Stability
According to CNBC, Andrew Bailey, Governor of the Bank of England and Chairman of the Financial Stability Board (FSB), wrote to G20 finance ministers and central bank governors on August 31 to warn that frontier AI models are exhibiting increasingly sophisticated autonomy and threat capabilities, which could fundamentally alter the speed, scale, and economics of cyberattacks, potentially triggering disorderly adjustments across global financial markets. Bailey noted that highly concentrated third-party service providers will become critical nodes of systemic risk, emphasizing that most countries currently lack regulatory frameworks for the development and deployment of frontier AI. He also flagged vulnerabilities in sovereign debt markets, the growing trend of leverage in equity markets, and the overvaluation of AI-related assets, urging governments to accelerate the refinement of relevant safety mechanisms.
Crypto Companies Send Joint Letter to AI Labs, Urging Access to Frontier Models for Bitcoin Developers
据 Cointelegraph 报道，比特币政策研究所（BPI）联合 Anchorage Digital、BitGo、Bitwise、Blockstream、Kraken、Ledger、MARA、Trezor 等多家加密机构，发布公开信敦促各大前沿 AI 实验室为比特币及开源软件开发者建立或扩展可信访问计划。 信中指出，Bitcoin Core 等开源维护者目前缺乏对 AI 实验室网络安全程序的访问渠道，被迫依赖能力较弱的开源模型，而比特币网络当前保护着逾 1 万亿美元资产，任何开源基础设施漏洞均可能危及用户毕生积蓄。BPI 同时披露，已收到多份报告显示包括潜在境外势力在内的复杂攻击者正借助先进 AI 能力持续发动攻击。
1178 employees from top AI companies sign joint statement calling for international cooperation to control the pace of frontier AI development
1,178 employees from leading AI companies have jointly released a statement titled "Pacing the Frontier," urging the U.S. government to support international cooperation in developing technologies and governance tools to proactively regulate the pace of frontier AI development.The statement says that global leading AI companies believe the future may be approaching the point where automated AI research becomes achievable. Although it is impossible to predict exactly how this will accelerate AI progress, there is a risk that AI capabilities could rapidly surpass human understanding and control.The signatories stated that the industry, governments, and society need to retain the option to "buy time" to address emerging risks, improve safety measures, and strengthen regulation. However, due to competitive pressures faced by both companies and nations, the world currently lacks governance mechanisms capable of proactively controlling the pace of frontier AI development.The statement notes that frontier AI agents are already capable of discovering and exploiting real software vulnerabilities, and could be used for large-scale cyberattacks in the absence of safety measures.Employees from multiple organizations including OpenAI, Anthropic, Google, and Meta have signed the statement, and believe there is a need to establish international coordination mechanisms to reduce potential risks while advancing AI development.
Anthropic's Restricted Spillover Effect Emerges: Asian AI Companies Simultaneously Launch Rival Frontier Models
as Anthropic faces export restrictions limiting the global availability of its advanced models, multiple Asian AI companies are accelerating efforts to fill the market gap. Chinese cybersecurity firm 360 Security Technology has reportedly launched an AI tool called "Tulongfeng," claiming it can directly compete with Anthropic's high-end model "Mythos." Meanwhile, its more restricted version, "Fable 5," also falls within the scope of relevant export controls.In the same week, Japanese AI startup Sakana AI released a new model named "Fugu," taken from the Japanese word for pufferfish. It is positioned as a frontier model designed for agents. The company stated that the model's capabilities are comparable to Fable 5 and Mythos Preview, and it supports coordinating multi-model calls via API to enable agent orchestration.Sakana AI emphasized that the timing of this release and the U.S. export restrictions are "purely coincidental," but the product's official website still clearly promotes "providing frontier capabilities without the risk of export controls." Company co-founder David Ha stated that future AI development will shift from competition among single large models to "model orchestration systems," adding that "access can disappear at any time, and distributed intelligence is a realistic hedge against the risks of centralization."On the other hand, Chinese 360 founder Zhou Hongyi views AI vulnerability detection capabilities as a "national strategic asset" and warns of the so-called "one-way transparency" risk, where certain entities may monopolize advanced security capabilities.According to reports, the U.S. export restrictions on Anthropic's advanced models have been in place for about two weeks. Against this backdrop, Asian manufacturers are accelerating the launch of local alternatives. Although some companies still emphasize the importance of American models in the Asian market, the trend of differentiation within the regional AI ecosystem has begun to emerge. (TechCrunch)
OpenAI Releases Frontier Governance Framework
OpenAI has released the Frontier Governance Framework, systematically elaborating on how its AI safety and governance practices align with emerging regulatory requirements such as the California Frontier AI Transparency Act and the EU's General-Purpose AI Code of Conduct. Based on OpenAI's existing Preparedness Framework, this framework focuses on areas including cyberattacks, CBRN risks, harmful manipulation, loss of control risks, model reporting, security incident response, and external expert review. It also states that it will be continuously updated as model capabilities and the regulatory environment evolve.
Institutions: AI Giants Worry They're Moving Too Fast, But Most of Their Customers Are Still Far From the "Frontier"
Over the past year, the AI field has experienced explosive growth, and this pace seems to have left frontier AI developers struggling to keep up in a short period of time. Now, these companies are beginning to call for a slower pace of research and stronger regulation and oversight.However, the AI safety crises that have previously been brought to light are unlikely to similarly impact the customers of AI giants like Anthropic and OpenAI. Enterprises typically deploy models that have already been commercialized and whose capabilities are relatively well understood by the market. These models may not be at the absolute cutting edge of AI, but their capabilities are already powerful enough to handle the various tasks enterprises assign to them.Stephen Messer, co-founder of Collective, said that most enterprises are not using the most cutting-edge models. They may even still be using versions from two years ago, and for the work they are doing, these models are actually more than sufficient. Some users don't even really know how to effectively prompt the models. Therefore, if the pace of AI development slows down, it won't have much of an impact on them. (WSJ)
Tech investor Jason: AI stocks will drop more than 10% in early trading on Monday
Odaily reports: Well-known tech investor Jason posted on X: "AI stocks will drop more than 10% in early trading on Monday," adding that Amodei's blog post "single-handedly dismantled the AI trade."Anthropic CEO Dario Amodei previously published a blog post with a title that directly stated: "We Must Pace the Frontier." Within hours of the article's publication, SpaceX CEO Elon Musk posted on X, saying "Dario is right."Early market indicators show that following the "AI slowdown" news, related assets on the HyperliquidX platform fell in response, with OpenAI and Anthropic dropping 7% and 2.8% respectively. Multiple market observers and investors have issued warnings on social media, concerned that the news will cause a significant impact on AI-related stocks such as Nvidia, Broadcom, and AMD on Monday.Executives at Google DeepMind and Meta have not yet publicly commented on this weekend's discussions. Divisions within the industry also cannot be overlooked. Critics argue that leading AI companies have self-interested motives in emphasizing existential risks—expensive safety and compliance frameworks could shut out smaller competitors, thereby consolidating the market position of existing giants.
Goldman Sachs: Broadcom Reiterates AI Revenue Target of 230 Billion, 1GW Cluster Generates 30 Billion Annually
According to Chaotiang Research, a Goldman Sachs research report dated September 8, 2026 notes that Broadcom reaffirmed its FY27/FY28 AI revenue targets of $115 billion and $230 billion at the CommunaCopia conference, stating that supply, not demand, remains the primary constraint. Land acquisition, power capacity, and facility construction for data centers represent the true bottlenecks to AI deployment, whereas supply chain constraints remain relatively manageable. Broadcom’s $35 billion XPV partnership with Blackstone and Apollo can support over 20 gigawatts of AI compute capacity while capping Broadcom’s direct financial exposure. A 1-gigawatt AI cluster generates approximately $30 billion in annual revenue, with annual operating costs of around $10 billion. Broadcom believes that the economic value of AI primarily flows to the owners of frontier models. Annual industry training expenditure stands at approximately $200 billion. Frontier models capture roughly 75% of industry revenue ($120 billion in revenue against $100 billion in costs), while open-source models generate only about $30 billion in revenue despite similar investment levels. Goldman Sachs maintains a Buy rating, setting a target price of $540 based on 30x normalized earnings per share of $18, implying approximately 51% upside from the current stock price.
Zhihu Plans to Invest RMB 1.5 Billion to Participate in Establishing an AI and Frontier Technology Industry Fund
According to Yahoo Finance, Zhihu announced in a filing that its wholly-owned subsidiary entered into a subscription agreement with the general partner and fund manager to subscribe for RMB 1.5 billion worth of limited partnership interests in the fund using its own funds. Upon completion of the subscription, Zhihu is expected to hold no more than a 30% interest in the fund. The fund has a term of seven years (extendable by up to two years) and an investment period of four years. It will primarily invest in early- to mid-stage unlisted companies in mainland China within the artificial intelligence and frontier technology sectors, covering foundational models, AI infrastructure, robotics, and AI applications.
Wyoming Expands Partnership with Chainlink to Introduce On-Chain Reserve Verification for FRNT Stablecoin
According to The Block, the Wyoming Stable Token Committee announced the adoption of Chainlink Proof of Reserve to provide near-real-time on-chain reserve validation for its official stablecoin, Frontier Stable Token (FRNT). The Network Firm will audit FRNT reserves in accordance with AICPA standards, while Chainlink will post verification data on-chain in real time to bridge information gaps between reporting cycles. Previously, Wyoming fully migrated FRNT from LayerZero to Chainlink CCIP last month as its sole cross-chain infrastructure. The committee is also advancing the Chainlink Proof of Reserve Secure Mint feature, which requires verifying that reserves do not fall below FRNT's total supply before minting new tokens to prevent infinite minting attacks. FRNT launched in January this year and is the United States' first government-issued stable token, backed by U.S. dollars and short-term U.S. Treasuries.
Bank of England Governor: Frontier AI Models Threaten Global Financial Stability
According to CNBC, Andrew Bailey, Governor of the Bank of England and Chairman of the Financial Stability Board (FSB), wrote to G20 finance ministers and central bank governors on August 31 to warn that frontier AI models are exhibiting increasingly sophisticated autonomy and threat capabilities, which could fundamentally alter the speed, scale, and economics of cyberattacks, potentially triggering disorderly adjustments across global financial markets. Bailey noted that highly concentrated third-party service providers will become critical nodes of systemic risk, emphasizing that most countries currently lack regulatory frameworks for the development and deployment of frontier AI. He also flagged vulnerabilities in sovereign debt markets, the growing trend of leverage in equity markets, and the overvaluation of AI-related assets, urging governments to accelerate the refinement of relevant safety mechanisms.
Related news
Dragonfly Managing Partner: Onchain Pre-IPO Derivatives Show AI Lab Valuations Not Significantly Impacted by "Slowing the Frontier Race"
Dragonfly managing partner Haseeb Qureshi stated that price movements in onchain Pre-IPO derivatives reflect interesting market expectations for AI lab valuations. He noted that Jacob Coxon's earlier pessimistic remarks about AI risk actually pushed related lab valuations higher, arguing that "scaring everyone seems to be good for business."Haseeb said that after Anthropic CEO Dario Amodei proposed "slowing the frontier race," related valuations were not significantly affected, which is not surprising, since reducing the model race means training spending declines, thereby lowering major capital expenditures. However, after David Sacks publicly criticized Dario, Anthropic's valuation was largely unaffected, while OpenAI's valuation declined, and he raised questions about the reason for this.
Institutions: AI Giants Worry They're Moving Too Fast, But Most of Their Customers Are Still Far From the "Frontier"
Over the past year, the AI field has experienced explosive growth, and this pace seems to have left frontier AI developers struggling to keep up in a short period of time. Now, these companies are beginning to call for a slower pace of research and stronger regulation and oversight.However, the AI safety crises that have previously been brought to light are unlikely to similarly impact the customers of AI giants like Anthropic and OpenAI. Enterprises typically deploy models that have already been commercialized and whose capabilities are relatively well understood by the market. These models may not be at the absolute cutting edge of AI, but their capabilities are already powerful enough to handle the various tasks enterprises assign to them.Stephen Messer, co-founder of Collective, said that most enterprises are not using the most cutting-edge models. They may even still be using versions from two years ago, and for the work they are doing, these models are actually more than sufficient. Some users don't even really know how to effectively prompt the models. Therefore, if the pace of AI development slows down, it won't have much of an impact on them. (WSJ)
Tech investor Jason: AI stocks will drop more than 10% in early trading on Monday
Odaily reports: Well-known tech investor Jason posted on X: "AI stocks will drop more than 10% in early trading on Monday," adding that Amodei's blog post "single-handedly dismantled the AI trade."Anthropic CEO Dario Amodei previously published a blog post with a title that directly stated: "We Must Pace the Frontier." Within hours of the article's publication, SpaceX CEO Elon Musk posted on X, saying "Dario is right."Early market indicators show that following the "AI slowdown" news, related assets on the HyperliquidX platform fell in response, with OpenAI and Anthropic dropping 7% and 2.8% respectively. Multiple market observers and investors have issued warnings on social media, concerned that the news will cause a significant impact on AI-related stocks such as Nvidia, Broadcom, and AMD on Monday.Executives at Google DeepMind and Meta have not yet publicly commented on this weekend's discussions. Divisions within the industry also cannot be overlooked. Critics argue that leading AI companies have self-interested motives in emphasizing existential risks—expensive safety and compliance frameworks could shut out smaller competitors, thereby consolidating the market position of existing giants.
OpenAI Founder Agrees With Anthropic CEO on Joint Governance of Frontier Models
OpenAI founder Sam Altman has expressed agreement with Anthropic CEO Dario Amodei's views on controlling the advancement of frontier models. Both parties are exploring the introduction of an independent evaluation mechanism to strengthen AI safety oversight, with more details to be announced subsequently.
Goldman Sachs: Broadcom Reiterates AI Revenue Target of 230 Billion, 1GW Cluster Generates 30 Billion Annually
According to Chaotiang Research, a Goldman Sachs research report dated September 8, 2026 notes that Broadcom reaffirmed its FY27/FY28 AI revenue targets of $115 billion and $230 billion at the CommunaCopia conference, stating that supply, not demand, remains the primary constraint. Land acquisition, power capacity, and facility construction for data centers represent the true bottlenecks to AI deployment, whereas supply chain constraints remain relatively manageable. Broadcom’s $35 billion XPV partnership with Blackstone and Apollo can support over 20 gigawatts of AI compute capacity while capping Broadcom’s direct financial exposure. A 1-gigawatt AI cluster generates approximately $30 billion in annual revenue, with annual operating costs of around $10 billion. Broadcom believes that the economic value of AI primarily flows to the owners of frontier models. Annual industry training expenditure stands at approximately $200 billion. Frontier models capture roughly 75% of industry revenue ($120 billion in revenue against $100 billion in costs), while open-source models generate only about $30 billion in revenue despite similar investment levels. Goldman Sachs maintains a Buy rating, setting a target price of $540 based on 30x normalized earnings per share of $18, implying approximately 51% upside from the current stock price.
Zhihu Plans to Invest RMB 1.5 Billion to Participate in Establishing an AI and Frontier Technology Industry Fund
According to Yahoo Finance, Zhihu announced in a filing that its wholly-owned subsidiary entered into a subscription agreement with the general partner and fund manager to subscribe for RMB 1.5 billion worth of limited partnership interests in the fund using its own funds. Upon completion of the subscription, Zhihu is expected to hold no more than a 30% interest in the fund. The fund has a term of seven years (extendable by up to two years) and an investment period of four years. It will primarily invest in early- to mid-stage unlisted companies in mainland China within the artificial intelligence and frontier technology sectors, covering foundational models, AI infrastructure, robotics, and AI applications.